Jingkun Qu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Circular RNAs in diseases 3
- Oncology 21
- HER2/EGFR in Cancer Research 4
- Cancer-related Molecular Pathways 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Xixi Zhao (18 shared papers)Jizhao Wang (9 shared papers)Yuchen Sun (8 shared papers)Shuqun Zhang (12 shared papers)Jiansheng Wang (12 shared papers)Hui Cai (7 shared papers)Feidi Wang (3 shared papers)Xu Liu (2 shared papers)
- Journals
- Oncotarget (3 papers)Oncology Reports (3 papers)International Journal of Surgery (2 papers)Bioorganic Chemistry (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jingkun Qu
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 275
- Oncology 414
- Immunology 315
- Molecular Biology 628
- Toxicology 31
Countries citing papers authored by Jingkun Qu
This map shows the geographic impact of Jingkun Qu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingkun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingkun Qu more than expected).
Fields of papers citing papers by Jingkun Qu
This network shows the impact of papers produced by Jingkun Qu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingkun Qu. The network helps show where Jingkun Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingkun Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 252 | |
| 2 | 2022 | 113 | |
| 3 | 2020 | 79 | |
| 4 | 2017 | 65 | |
| 5 | 2018 | 57 | |
| 6 | 2019 | 56 | |
| 7 | 2015 | 52 | |
| 8 | Baicalein suppress EMT of breast cancer by mediating tumor-associated macrophages polarization. | 2018 | 50 |
| 9 | 2017 | 45 | |
| 10 | 2017 | 43 | |
| 11 | 2023 | 39 | |
| 12 | 2022 | 36 | |
| 13 | FoxM1: a novel tumor biomarker of lung cancer. | 2015 | 34 |
| 14 | 2021 | 31 | |
| 15 | 2022 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2014 | 24 | |
| 18 | 2015 | 21 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 18 |
About Jingkun Qu
Jingkun Qu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer and Skin Lesions (4 papers), Circular RNAs in diseases (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (275 citations), Oncology (414 citations), Immunology (315 citations), Molecular Biology (628 citations) and Toxicology (31 citations). Jingkun Qu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xixi Zhao, Jizhao Wang, Yuchen Sun, Shuqun Zhang, Jiansheng Wang, Hui Cai, Feidi Wang, Xu Liu, Xingcong Ma and Hong Zhang. Their work appears in journals such as Oncotarget, Oncology Reports, International Journal of Surgery, Bioorganic Chemistry and Journal of Translational Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.